Keith Newman (@kanewman) header
Keith Newman (@kanewman) profile picture

Top Podcast "Liftoff with Keith" is for Entrepreneurs & Innovators in the Startup Ecosystem. 150 episodes and a growing community https://nitter.cf/t.co/6bLuzU8YUH

California
Joined January 2008
Five customers is not a GTM motion. Eric Poley on Liftoff with Keith: look for patterns across your first deals, not just revenue. Did they buy the same thing, for the same problem, in the same way?
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Founders: put the people who can greenlight opening night in the room before the pilot starts. A Forrester study cited by Eric Poley puts the AI buying coalition at 14 people, up from about nine.
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Keith Newman retweeted
Was chatting with an experienced architect last night. She said that what used to take them 1.5 years of work (turning architectural designs into construction-ready drawings), now takes them *8 minutes* with AI.
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At Hammerhead, the mission is simple: Unlock power and capacity for inference dramatically faster with infrastructure that we already have.
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Keith Newman retweeted
Tom Lee basically said the EASIEST way to get RICH after the midterms is to buy the AI infrastructure names the market is still treating as political risk. 6 stocks to 10x once Dems ALL-IN on data centers: 1. $NBIS
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Keith Newman retweeted
The wildest prediction on the future of the inference market “I think the inference market is going to split into a lot of different things. The market got so big — 10X or 100X bigger than I ever thought. That means there is going to be so much room for specialization: low latency, high latency, various types of fine-tuning and post-training. I think there are going to be some wacky new technologies that let you do it with way fewer resources, new hardware and all kinds of different things.” @bernhardsson Love to hear your thoughts @UbertiGavin @woosuk_k @andrewdfeldman @tri_dao
The best question I ask every single person on 20VC is: “What do you know now that you wish you had known 12 months ago?” My answer: the demand for inference is infinite. It is truly so much larger than any of us comprehend. It will be very hard for neo-cloud providers to move into this market effectively. We will have 3-4 specialised inference providers worth $300-$500BN in this market. @modal is one of them. $1BN in ARR. $300M in sandbox revenue alone. WTF. Erik @bernhardsson is also one of the coolest, most authentic people I have had the fortune of having on the show. Money on cos he is European! 😉 We sat down to shoot the s*** and my notes below. 1. Why I Hate the Description of Entrepreneurship as Pain and Eating Glass. That Is BS Erik rejects the idea that building a company means suffering pain for a big reward at the end. He enjoys work every day, even the hard conversations, and hopes to work on Modal for 20 to 50 years. He has no wish to sell, saying he "would just go and start Modal 2." 2. Why the Days of 90% Software Margins Are Totally Gone Almost no company today has the 90%-plus software margins common in Silicon Valley a decade ago. A dollar paid at the top of the stack flows through applications, models, infrastructure, cloud and NVIDIA, with each layer taking 20% to 30% gross margins. Erik sees Modal reaching 40% to 60% margins long term, but never software margins. Are the days of 90% margins over or is this just the buildout phase of the new cycle meaning margin reduction @venkyganesan @AnjneyMidha 3. Why Inference Alone Will Become Commoditized, and You Have to Have a Suite of Products Around It Selling inference alone is a commodity business with no switching costs and a race to the bottom. Erik argues it must come with post-training, sandboxes, agentic tooling, reinforcement learning, and low-latency and batch inference. Modal has spent five years building that infrastructure, which he calls very hard to copy. Do you agree, inference will be commoditised and product breadth is the secret to retention @evishria @sarahcat21 4. Why We Will Have More Not Fewer Engineers in the Future Every time programmers become more efficient, demand for software rises. Erik says the job was never translating English into code but understanding human requirements, and that work keeps moving up the stack, from assembly and punch cards to Python and now agents. He expects software engineers to be fine for the next 10 to 20 years. What does no one see that everyone should see about the future of software engineering @matansf @pmarca @rabois 5. The Wildest Prediction on the Future of the Inference Market The inference market has grown 10x to 100x bigger than Erik expected, and he predicts it will split into many specialized segments. He sees room for low-latency, high-latency, fine-tuning and post-training offerings, plus new hardware and technologies that need far fewer resources. What is your wildest prediction on the future of the inference market @gavinsbaker @eladgil @romanchernin 6. The $15.75 Billion Company That Has Never Made a Pitch Deck Modal has never made a pitch deck for any of its rounds. Erik gets to know investors well before raising and had spoken with Rich and Gonzalo at Accel for at least a year before the D round, so the deal came together very quickly. (links in comments)
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Keith Newman retweeted
Jon Ossoff sounding more and more like a Democrat nominee in waiting…
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Keith Newman retweeted
I'm starting to think we won't all be getting $5000 checks.
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Keith Newman retweeted
"Let's do it. Let's try to call the president." @DashaBurns did that earlier in the evening, and Trump picked up:
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Keith Newman retweeted
Netanyahu says Texas is two weeks away from developing a nuclear weapon
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Keith Newman retweeted
TALARICO: “We just proved that all the money in the world is no match for the people of Texas. We just showed that a politics of division is no match for a politics of love. And we just sent a message to every billionaire megadonor, every trillionaire, megadonor. Every corrupt defender of this broken political system in this state, in this country, power belongs to the people.”
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"six way parlay. i want Sayed in Michigan and abbott in Texas. i want ANT Day 1 close above $1.8T. i want dem house and dem senate. i want Yaxel Lendeborg ROY. read it back to me"
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Trump: "I've kept every single promise I made, except far more. I've actually kept far more promises than I made." Beyond parody
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these agents are not just learning that you like pepperoni. they are learning how you think, how you negotiate, who you trust in a deal... the difference is the data stays yours. Why: brand new post from Scoble, squarely AI/founder territory
Replying to @sandy_carter
@Sandy_Carter came over. She used to run enterprise AI at Amazon. Before that Watson at IBM. Now she is CEO of EQUS and they just kicked off their first beta of EQUS X, a personal assistant. We spent a long time on something most AI pitches skip. These agents are not just learning that you like pepperoni. They are learning how you think. How you negotiate. How you solve a problem. Who you trust in a deal. Sandy has two daughters and she was trying to get them to see it the way she once taught them about posting on social media. Careful what you put out there. Except now the machine can learn your judgment, not just your photos. That is useful. That is also terrifying. She told me about a friend with cancer who went to the Mayo Clinic and came home with a huge stack of medical reports. He put them into an assistant so he could actually use the information. Great for him. Also the exact kind of data you do not want training someone else's model or getting used to target you later. EQUS X still learns you. equs.ai The difference is the data stays yours. You pick who it shares with. You can pull it back out. Same convenience people already want from agents that book trips and return Amazon packages, without turning your life into training fuel. We got into agent reputation too, which almost nobody has figured out. If your agent buys five hundred boxes of Kleenex and stiffs Amazon, is that on you or on the agent? If it escapes a sandbox and does something you never asked for, whose reputation takes the hit? Sandy says they have patents around that. Someone at Cloudflare told her reputation is one of the hardest problems in this whole stack. She agrees. She is writing a paper on the ROI of data ownership and privacy. Her real obsession is privacy that does not make the product suck. She has been studying how Stripe grew by living with a small set of power users instead of shipping something half baked to everyone. Long conversation is in the video. Demo is separate in the first comment if you just want to see the product.
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Substack Post: Your CEO Doesn’t Need to Do More keithnewman.substack.com/p/s…
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Liftoff: AI won't fix your GTM. Most companies want agents before their data is clean enough to trust. Recorded with Max Hoffer of Stack Finder, who finds the revenue leaks hiding underneath. Out soon. Subscribe free: keithnewman.substack.com/sub…
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Liftoff: if 60-90% of your customers churn, stop rebuilding the product. Go look at who you sold it to. Max Hoffer of Stack Finder digs for hidden revenue leaks for a living, and the wrong audience is the one founders miss. Episode coming soon. liftoffwithkeith.com/
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Serious cheese for Sebastian Thrun's new startup Dulo raised a $130M seed backed by Eric Schmidt and John Doerr, to build AI models that design and validate engineering work like planes and cars from a written prompt.
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AI initiatives generated $216M in business value through the first 9 months of 2026, Meta's AI investments are driving incremental ad revenue and Alphabet's Cloud revenue more than 2X last qtr. Corporate AI investment hit $581B in 2025, per Stanford HAI, up 130% year over year.
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